Alex

It’s not AI usage in the kernel - it’s the increase in AI to do code auditing that had seen the spike in bug reports. A lot of FLOSS projects are seeing this regardless of their use of not of AI to generate code.

Dame Helen Mirren as Morgana, Arthur’s half sister I think.

It seems high to me. Do you have an electric immersion heater stuck on without a thermostat?

My usage is about 60kWh a day but that’s heating a pool and a hot tub which are by far the biggest consumers. It would be closer to 20kWh without those.

I think the panels on my home are around 20% efficient so this sounds promising.

I didn’t see anything in particular talking about allowing apps which have used AI although they seem to be using agents to do the repackaging.

According to the site it is repackaging upstream binary releases in a flatpak rather than building anything. I guess for example you could point it at the official Krita app image and make it available that way rather than relying on the community flathub build.

It’s obviously still open source or the various downstream forks of it wouldn’t be able to exist.

I don’t think Photoshop does anything that any of the modern FLOSS graphics apps can’t (or could) do. It’s main advantage has been market share and familiarity.

I’d far prefer adding features to existing projects over relying on a shaky reversed port of a propriety program.

I only had a partial backup of the original assembly. It turned out it was slightly out of date compared to the shipped binary which is archived on various scene servers. The target for the agent was for the build to be byte identical with the scene archive which did necessitate a few macros to coerce GNU as to do what DevPac would do.

The additions the agent identified vaguely tickled my memory of things I had fixed but this was something I originally wrote when I was a teenager in the 90s 😅

I did give the rea plugin a spin yesterday to restore the source for something I made in the 90s where I only had a partial backup of an old version of the code. It was able to get to a byte identical artefact but built with GNU as and all the artefacts split out into pngs.

It took a few hours for something that would have taken me days if I’d be actually been inclined to spend the time. I can totally see the appeal of offloading a boring and laborious task to an LLM agent that will just chug through the stages.

But what is the purpose of these decomps once done. Are they intending to do something interesting with the result? Study, tweak, remix?

A large installed base of web apps including giants like Wordpress combined with a desire not to migrate when something is working.

Slop has existed before AI but it has lowered the barrier to generating it. Having no AI policies isn’t really working because the slop posters don’t declare it and as a reviewer you don’t want to be second guessing a potential contributor.

We are probably going to move to a policy that allows narrow use of AI tools but emphasises human understanding and ownership as mandatory components of contribution.

I dunno, probably funding the majority of engineers that work on key components of the system.

In my experience having maintainers who are paid means they have time to do the long term work on improving the projects.

The documentary makes a lot about the communication between the agents on the notice board. One of the talking heads did point out the conversations are the way they are because they are trained on human chat and discussion.

Unlocking embedded devices is one use case I can get behind for LLM use. I’m unlikely to want to rely on purely vibed software but if it opens the door to more considered software afterwards then what the hell.

He just wants to keep rolling the dice on his poor decisions until it pays off. I guess absorbing Tesla into the one “successful” IPO will hide the losses and leave the investors holding the bag.

Other firmwares exist, even libreboot is a fork of coreboot. The availability of the code is not an automatic invite to start judging it’s authors. The four freedoms are there so exercise them.

In the Stokes case a number of researchers that where close to the solution suspect OpenAI was reading their homework.

LLM’s certainly have the capability of extracting novel correlations from their vast training sets. But whether that really counts as “new thinking” remains to be seen.

The main thing I remember from Vice City was the excellent sound track.

I keep meaning to find another instance although as far as I can tell it hasn’t limited my access to the communities I’m interested in (FLOSS software, technology and UK politics). Part of the inertia also comes from my experience on Mastodon which occasionally sees waves of server shutdowns when the costs become too much for individual admins to absorb. At least while the core contributers continue I can be reasonably certain the server will stay up.